# Heading
The notebooks explores the use of Pandas,Seaborn,Matplotlib,Statistics and will cover the techniques of Exploratory Data Analysis(EDA) which includes cleaning, munging, combining, reshaping, slicing, dicing, and transforming data for analysis purpose.
-This is Import and export data available by principle commodity and country wise for 3 years from Apr'2014 to Mar'2017.
Ministry of Commerce and Industry, Govt of India has published these datasets in Open Govt Data Platform India portal under Govt. Open Data License - India.
The objective of this data analysis is to better understand the imports and exports by India related with differnt countries and variety of products.
| Column Name | Description | </tr> </thead>
|---|---|
| pc_code | Principal Commodity Code |
| pc | Principal Commodity Name |
| unit | measurement of quantity |
| country_code | Integer, country code |
| country_name | String, country name |
| quantity | quantify of export or import |
| value | monetary valeu of the quantity (in million USD) |